Can We Use Technology to Motivate a Higher Level of Safety Engagement

Date:

  

Time:

 

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Speaker:

October 22nd, 2019

 

1:30 pm - 2:30 pm 

 

Nevada TBA

 

Company: NIOSH/PMRD

TitleLead Research Behavioral Scientist

 

Emily Haas, Ph.D.  Dr. Haas is a Senior Research Behavioral Scientist on the Human Factors Branch at the National Institute for Occupational Safety and Health (NIOSH) Pittsburgh Mining Research Division (PMRD) located in Pittsburgh, Pennsylvania. Dr. Haas studies issues related to health, safety, and risk management in the mining industry. Leading research efforts with mineworkers and mine management across mines of various commodities, she has helped facilitate safer work behaviors and reduce barriers to sustaining those behaviors. Specifically, her research studies risk by way of integrating work practices around mine technologies including proximity detection systems, Helmet-CAM assessment technology, and continuous personal dust monitors. Dr. Haas has more than 50 papers published in public health, occupational safety, and mining journals. Emily has a PhD in Health Communication from Purdue University, Indiana, and an MA/BA from the University of Dayton, Ohio.

CompanyAcknowlogy

TitleSafety Guy

 

 

EmilyHaas
Jon Wickizer

Overview

As fatalities and other severe incidents (i.e., lagging indicators) decrease and proactive H&S initiatives (i.e., leading indicators) increase, it is imperative to make use of the day-to-day information mine sites collect to reveal at-risk trends that the industry is facing. Currently, the use of informational risk management tools to help mines learn from mistakes and check performance in real time does not exist in the industry. To that end, we discuss the possible use of mobile technology to not only engage the workforce, but also assist with safety big data collection for the industry. Upon using mobile technology to collect and store big data, it is possible to aggregate, analyze, and verify health, safety, and risk-based leading indicators that are critical to preventing the occurrence of incidents or onset of disease. The end goal of using these big data sets is to be able to operationalize how mines can make improvements and measure progress among any “problem” element within their organizational health and safety management system (HSMS). However, to do this, we need feedback from industry experts. Please consider joining this session to learn about upcoming work and taking part in our big data workgroup.